{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerable system", "discoverer", "vulnerability", "vulnerable system version", "common vulnerabilities and exposures", "capabilities", "supported platform", "time"]}, {"event_type": "phishing", "trigger": true, "arguments": ["attacker", "place", "damage amount", "time", "victim", "tool", "trusted entity", "purpose"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of data", "place", "victim", "tool", "attack pattern", "time", "attacker", "compromised data", "number of victim"]}, {"event_type": "ransom", "trigger": true, "arguments": ["payment method", "tool", "attacker", "price", "attack pattern", "time", "victim", "place"]}], "input": "A city employee sent WXIA a screenshot of the ransom demand , which included a pay - per - computer option of $ 6,800 or an option to pay $ 51,000 to unlock the entire system ."}
{"discover vulnerability": [], "phishing": [], "data breach": [], "ransom": [{"trigger": "a pay - per - computer option", "arguments": {"payment method": "NAN", "tool": "NAN", "attacker": "NAN", "price": "$ 6,800", "attack pattern": "NAN", "time": "NAN", "victim": "NAN", "place": "NAN"}}]}